MICHAEL BERNSTEIN
Michael Bernstein is a Professor of Computer Science at Stanford University, where he is a Bass University Fellow and Senior Fellow at the Stanford Institute for Human-Centered Artificial Intelligence. His research focuses on designing social, societal, and interactive technologies. This research has been reported in venues such as The New York Times, TED AI, and MIT Technology Review, and Michael himself has been recognized with an Alfred P. Sloan Fellowship, the UIST Lasting Impact Award, and the Computer History Museum's Patrick J. McGovern Tech for Humanity Prize. Exclusively represented by BrightSight Speakers, Michael holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT. He is the co-author of Flash Teams: Leading the Future of AI-Enhanced, On-Demand Work with Melissa Valentine.
What are reasonable, and unreasonable, expectations for how AI might transform your business? This session sets out to demystify AI, discussing what it is suited for and what leads to successful deployments in an organization. Professor Bernstein covers how AI works, what problems you might expect it can solve—and not solve—soon, and then tackles why so many AI products and services fail. The presentation explores through examples and research how AI can be designed not just to automate tasks but to augment us, and common errors that doom AI development.
What if you had a what-if machine that could simulate how your customers will behave? You could explore potential strategic decisions and understand how they might play out, do customer research in an instant, or see what conditions might need to be true for your strategy to succeed. In this presentation, Professor Bernstein discusses a frontier of AI agents: AI agent simulations of human behavior. He demonstrates how to use AI agents to create an instantly-available panel of your customers, how to measure their accuracy, and how to avoid common pitfalls.